The transformation of the Supplemental Nutrition Assistance Program

Klerman, Jacob Alex; Danielson, Caroline

doi:10.1002/pam.20601

Cited by 67 publications

(73 citation statements)

References 22 publications

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“…Following previous research, in some regressions, we control for the current and lagged state unemployment rates (lagged by 1 to 5 years) to adjust for economy level trends (Klerman and Danielson 2011). …”

Section: Datamentioning

confidence: 99%

Food Insecurity and SNAP Participation in Mexican Immigrant Families: The Impact of the Outreach Initiative

Kaushal

Wight

2013

The B.E. Journal of Economic Analysis &Amp; Policy

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We study the factors associated with food insecurity and participation in the Supplemental Nutrition Assistance Program (SNAP) in Mexican immigrant families in the US. Estimates from analyses that control for a rich set of economic, demographic, and geographic variables show that children in Mexican immigrant families are more likely to be food insecure than children in native families, but are less likely to participate in SNAP. Further, more vulnerable groups such as the first-generation Mexican immigrant families, families in the US for less than 5 years, and families with non-citizen children – that are at a higher risk of food insecurity are the least likely to participate in SNAP. Our analysis suggests that the US Department of Agriculture outreach initiative and SNAP expansion under the American Recovery and Reinvestment Act increased SNAP participation of the mixed-status Mexican families. We do not find any evidence that the outreach and ARRA expansion increased SNAP receipt among Mexican immigrant families with only non-citizen members who are likely to be undocumented.

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Section: Datamentioning

confidence: 99%

Food Insecurity and SNAP Participation in Mexican Immigrant Families: The Impact of the Outreach Initiative

Kaushal

Wight

2013

The B.E. Journal of Economic Analysis &Amp; Policy

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“…Although the size of the average benefit amount increased modestly over this period, as previously noted, the rise in expenditures was largely driven by the rise in the number of recipients (Moffitt 2013). Caseload growth after the Great Recession was correlated with the weak macroeconomy and high unemployment, lower incomes, and widening inequality (Ganong and Liebman 2013;Klerman and Danielson 2011;Ziliak 2013). More generally, participation has grown in the last 10 years among: full-time, yearround workers; those with a college education; and those with household incomes between 100 and 200 % of the federal poverty threshold (Ziliak 2013).…”

Section: Previous Literaturementioning

confidence: 83%

“…Long-term veterans are even more distant from the military and its potentially protective influence, and they have been subject for longer periods of time to the social structural, economic, and political forces that shape SNAP use among the non-military population (Ganong and Liebman 2013;Klerman and Danielson 2011;Moffitt 2013;Ziliak 2013). Additionally, they may have larger families (Gill et al 1994;Lundquist and Smith 2005;Military Family Resource Center 2000), which may increase their need for food over and above the food resources their income from paid labor can provide.…”

Section: Previous Literaturementioning

confidence: 99%

“…SNAP participation during and after the Great Recession has been a topic of great interest among researchers and policy makers, and some research has focused on the role that various institutions play in facilitating access to SNAP benefits (Ganong and Liebman 2013;Klerman and Danielson 2011;Ziliak 2013). Given the variable connections that different subpopulations have to institutions that can influence SNAP use, it is important to strategically examine heterogeneity in SNAP use in relation to linkages with specific institutions.…”

Section: Introductionmentioning

confidence: 99%

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Supplemental Nutrition Assistance Program (SNAP) Use Among Active-Duty Military Personnel, Veterans, and Reservists

London

Heflin

2015

Popul Res Policy Rev

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Subpopulations have variable connections to specific institutions, such as the military, which can influence their use of social programs and access to resources. We use data from the 5-year (2008-2012) American Community Survey (ACS) public-use file to examine current Supplemental Nutrition Assistance Program (SNAP) use by military service status: active-duty personnel, recent veterans, long-term veterans, and reserve/guard members. Overall and by military service status, we estimate weighted descriptive statistics and multivariate logistic regression models that include demographic and socioeconomic controls. We document low but non-trivial levels of participation among active-duty personnel (2.2 %), higher but still moderate levels of SNAP use among veterans (7.1 % for recent veterans and 6.5 % for long-term veterans), and the highest level of use among members of the reserve/guard (9.0 %). Multivariate analyses support hypotheses based on the potential for the military, as a total institution, to substantially reduce use of SNAP among active-duty personnel, while veterans and reservists, who are more distal from food-related institutional resources, have higher likelihoods of using SNAP. Although levels of SNAP use among active-duty personnel, veterans, and reservists are lower than those observed in the national population, which includes those with no direct connection to military institutions, findings suggest that leaving active-duty military service results in a substantial and relatively immediate reduction in food-related resources for many recent veterans and their families. We discuss the implications of the findings for policy, limitations of the research, and directions for future research.

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“…[27], [28] and [3], and searching the web for information is one of the main strategies a potential applicant can do: for example, the most searched query related to the food stamps program for the US in the years 2004-2011 as provided by Google on 16/01/2012 was “ apply food stamps ”. Therefore, using Google online query statistics can provide real time information about the number of current and future food stamps recipients.…”

Section: Introductionmentioning

confidence: 99%

Nowcasting and Forecasting the Monthly Food Stamps Data in the US Using Online Search Data

Fantazzini

2014

PLoS ONE

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We propose the use of Google online search data for nowcasting and forecasting the number of food stamps recipients. We perform a large out-of-sample forecasting exercise with almost 3000 competing models with forecast horizons up to 2 years ahead, and we show that models including Google search data statistically outperform the competing models at all considered horizons. These results hold also with several robustness checks, considering alternative keywords, a falsification test, different out-of-samples, directional accuracy and forecasts at the state-level.

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The transformation of the Supplemental Nutrition Assistance Program

Cited by 67 publications

References 22 publications

Food Insecurity and SNAP Participation in Mexican Immigrant Families: The Impact of the Outreach Initiative

Food Insecurity and SNAP Participation in Mexican Immigrant Families: The Impact of the Outreach Initiative

Supplemental Nutrition Assistance Program (SNAP) Use Among Active-Duty Military Personnel, Veterans, and Reservists

Nowcasting and Forecasting the Monthly Food Stamps Data in the US Using Online Search Data

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